Classification model for hotspot occurrences using spatial decision tree algorithm

Classification model for hotspot occurrences using spatial decision tree algorithm

Developing a predictive model for forest fires occurrence is an important activity in a fire prevention program. The model describes characteristics of areas where fires occur based on past fires data. It is essential as an early warning system for preventing forest fires, thus major damages because...

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Bibliographic Details
Main Authors: Sitanggang, Imas Sukaesih, Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin
Format: Article
Language:English
Published: Science Publications 2013
Online Access:http://psasir.upm.edu.my/id/eprint/29139/2/CLASSIFICATION%20MODEL%20FOR%20HOTSPOT%20OCCURRENCES.pdf
http://psasir.upm.edu.my/id/eprint/29139/
http://thescipub.com/abstract/10.3844/jcssp.2013.244.251
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Institution: Universiti Putra Malaysia
Language: English

Internet

http://psasir.upm.edu.my/id/eprint/29139/2/CLASSIFICATION%20MODEL%20FOR%20HOTSPOT%20OCCURRENCES.pdf
http://psasir.upm.edu.my/id/eprint/29139/
http://thescipub.com/abstract/10.3844/jcssp.2013.244.251

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